Skip to Main Content
GEOREF RECORD

Quantitative assessment of the seismic net-pay method; a case study

Ramses G. Meza, Juan M. Florez, Stanislav Kuzmin and John P. Castagna
Quantitative assessment of the seismic net-pay method; a case study
Interpretation (Tulsa) (May 2015) 3 (2): B25-B36

Abstract

We applied the seismic net-pay (SNP) method to an oil discovery and predicted thicknesses consistent with the actual thicknesses at the wellbore locations. This was accomplished by applying the method in a self-calibrating mode that did not require the direct use of well information. For net-pay estimation under a self-calibration scenario, the SNP method thickness estimates proved to be more accurate (mean absolute prediction error at well validation locations under 3.0 + or - 1.5 m) than estimates from a reflectivity-based detuning method (4.0 + or - 2.7 m) or multiple linear regression (5.9 + or - 5.8 m) . Statistical F-tests indicated that the correspondences of the predicted thickness estimates with actual net-pay values for the SNP and reflectivity methods (F approximately 5.5-6 for both) were statistically significant, whereas the multiple regression results did not prove to be statistically significant.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 2
Title: Quantitative assessment of the seismic net-pay method; a case study
Affiliation: BHP Billiton Petroleum, Quantitative Interpretation Team, Houston, TX, United States
Pages: B25-B36
Published: 201505
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 20
Accession Number: 2015-073825
Categories: Economic geology, geology of energy sourcesApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sect., sketch map
Secondary Affiliation: University of Houston, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201532
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal